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Proceedings Paper

Dynamic population gratings in Er-doped optical fiber for mechanical vibrations detection
Author(s): Rong Chen; Chuanyi Tao; Liming Mao; Na Li
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Paper Abstract

Dynamic population gratings recorded in rare-earth-doped optical fibers, which are promising substitutes of photorefractive crystals for adaptive interferometric detections of mechanical vibrations and laser-induced ultrasound especially in industrial conditions, is formed by two counter-propagating mutually coherent laser recording waves via local saturation of the fiber optical absorption or gain (in optically pumped fibers). The dynamic population gratings are very attractive for different applications such as single-frequency cw fiber lasers, tunable narrow-band fiber optical filters, fiber optical sensors, adaptive interferometers, etc. The detection configuration will have an all-fiber design and will be based only on commercially available elements. In this work, we report an optical fiber adaptive vibrometer based on dynamic population grating in Er-doped optical fiber. A linear interferometer utilized for adaptive detection of mechanical vibrations. The two-wave mixing signal appears here as a result of nonlinear interaction between the direct wave R and the back propagating phase modulated wave S, which is reflected from the vibrating surface of a piezoelectric vibrating mirror. This all-fiber detection system has a fast response, is easy to prepare, which can be a potential method for detection of mechanical vibrations.

Paper Details

Date Published: 10 January 2018
PDF: 7 pages
Proc. SPIE 10618, 2017 International Conference on Optical Instruments and Technology: Advanced Optical Sensors and Applications, 1061808 (10 January 2018); doi: 10.1117/12.2295300
Show Author Affiliations
Rong Chen, Chongqing Univ. of Technology (China)
Chuanyi Tao, Chongqing Univ. of Technology (China)
Liming Mao, Chongqing Univ. of Technology (China)
Na Li, Chongqing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10618:
2017 International Conference on Optical Instruments and Technology: Advanced Optical Sensors and Applications
Xuping Zhang; Hai Xiao; Francisco Javier Arregui; Liquan Dong, Editor(s)

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